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Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury

BACKGROUND: Acute kidney injury (AKI) is a common and severe complication in patients with cirrhosis, and is associated with poor prognosis. Therefore, identifying cirrhotic patients with AKI who are at high risk of mortality is very important and may be helpful for providing timely medical interven...

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Autores principales: Wan, Yi-Peng, Wang, An-Jiang, Zhang, Wang, Zhang, Hang, Peng, Gen-Hua, Zhu, Xuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403434/
https://www.ncbi.nlm.nih.gov/pubmed/36157113
http://dx.doi.org/10.3748/wjg.v28.i30.4133
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author Wan, Yi-Peng
Wang, An-Jiang
Zhang, Wang
Zhang, Hang
Peng, Gen-Hua
Zhu, Xuan
author_facet Wan, Yi-Peng
Wang, An-Jiang
Zhang, Wang
Zhang, Hang
Peng, Gen-Hua
Zhu, Xuan
author_sort Wan, Yi-Peng
collection PubMed
description BACKGROUND: Acute kidney injury (AKI) is a common and severe complication in patients with cirrhosis, and is associated with poor prognosis. Therefore, identifying cirrhotic patients with AKI who are at high risk of mortality is very important and may be helpful for providing timely medical interventions to improve the prognosis of these patients. However, studies focused on investigating the risk factors for the mortality of cirrhotic patients with AKI were scarce. AIM: To identify risk factors for mortality and establish a nomogram for predicting the prognosis of these patients. METHODS: Two hundred fifty consecutive patients with cirrhosis and AKI were recruited and randomly divided into training cohort (n = 173) and validation cohort (n = 77). In the training cohort, potential risk factors for death were identified by performing a Cox regression analysis, and a nomogram was established. The predictive performance of the nomogram was internally and externally validated by calculating the area under the receiver operating characteristic curve (AUROC), constructing a calibration curve and performing decision curve analysis. RESULTS: The serum sodium level, international normalized ratio, peak serum creatinine level > 1.5 mg/dL, the presence of hepatic encephalopathy and diabetes were potential risk factors for mortality of cirrhotic patients with AKI in the training dataset. A prognostic nomogram incorporating these variables was established for predicting the overall survival of these patients. Compared with Child-Turcotte-Pugh, the model for end-stage liver disease (MELD) and the MELD-Na scores, the nomogram in predicting 90- and 180-d mortality exhibited better discriminatory power with AUROCs of 0.792 and 0.801 for the training dataset and 0.817 and 0.862 for the validation dataset, respectively. With a nomogram score of 98, patients were divided into low- and high-risk groups, and high-risk patients had a higher mortality rate. CONCLUSION: A prognostic nomogram displayed good performance for predicting the overall survival of cirrhotic patients with AKI, and will assist clinicians in evaluating the prognosis of these patients.
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spelling pubmed-94034342022-09-23 Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury Wan, Yi-Peng Wang, An-Jiang Zhang, Wang Zhang, Hang Peng, Gen-Hua Zhu, Xuan World J Gastroenterol Retrospective Study BACKGROUND: Acute kidney injury (AKI) is a common and severe complication in patients with cirrhosis, and is associated with poor prognosis. Therefore, identifying cirrhotic patients with AKI who are at high risk of mortality is very important and may be helpful for providing timely medical interventions to improve the prognosis of these patients. However, studies focused on investigating the risk factors for the mortality of cirrhotic patients with AKI were scarce. AIM: To identify risk factors for mortality and establish a nomogram for predicting the prognosis of these patients. METHODS: Two hundred fifty consecutive patients with cirrhosis and AKI were recruited and randomly divided into training cohort (n = 173) and validation cohort (n = 77). In the training cohort, potential risk factors for death were identified by performing a Cox regression analysis, and a nomogram was established. The predictive performance of the nomogram was internally and externally validated by calculating the area under the receiver operating characteristic curve (AUROC), constructing a calibration curve and performing decision curve analysis. RESULTS: The serum sodium level, international normalized ratio, peak serum creatinine level > 1.5 mg/dL, the presence of hepatic encephalopathy and diabetes were potential risk factors for mortality of cirrhotic patients with AKI in the training dataset. A prognostic nomogram incorporating these variables was established for predicting the overall survival of these patients. Compared with Child-Turcotte-Pugh, the model for end-stage liver disease (MELD) and the MELD-Na scores, the nomogram in predicting 90- and 180-d mortality exhibited better discriminatory power with AUROCs of 0.792 and 0.801 for the training dataset and 0.817 and 0.862 for the validation dataset, respectively. With a nomogram score of 98, patients were divided into low- and high-risk groups, and high-risk patients had a higher mortality rate. CONCLUSION: A prognostic nomogram displayed good performance for predicting the overall survival of cirrhotic patients with AKI, and will assist clinicians in evaluating the prognosis of these patients. Baishideng Publishing Group Inc 2022-08-14 2022-08-14 /pmc/articles/PMC9403434/ /pubmed/36157113 http://dx.doi.org/10.3748/wjg.v28.i30.4133 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Retrospective Study
Wan, Yi-Peng
Wang, An-Jiang
Zhang, Wang
Zhang, Hang
Peng, Gen-Hua
Zhu, Xuan
Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
title Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
title_full Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
title_fullStr Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
title_full_unstemmed Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
title_short Development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
title_sort development and validation of a nomogram for predicting overall survival in cirrhotic patients with acute kidney injury
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403434/
https://www.ncbi.nlm.nih.gov/pubmed/36157113
http://dx.doi.org/10.3748/wjg.v28.i30.4133
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